CN107276650B - A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user - Google Patents
A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user Download PDFInfo
- Publication number
- CN107276650B CN107276650B CN201710533484.XA CN201710533484A CN107276650B CN 107276650 B CN107276650 B CN 107276650B CN 201710533484 A CN201710533484 A CN 201710533484A CN 107276650 B CN107276650 B CN 107276650B
- Authority
- CN
- China
- Prior art keywords
- represent
- matrix
- base station
- efficiency
- temp
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0452—Multi-user MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B7/046—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
- H04B7/0465—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking power constraints at power amplifier or emission constraints, e.g. constant modulus, into account
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a kind of extensive MIMO mixing precoding efficiency optimization method of multi-user, loose constraint condition, iteration first tries to achieve the theoretical upper limit of base station energy efficiency.Then using the approximation theory upper limit as target design base band pre-coding matrix and radio frequency pre-coding matrix.Specific practice is, in base band, the solution of base band precoding to be converted into the positive semidefinite relaxation problem for the standard that can be solved with interior point method, in radio frequency, the solution of radio frequency precoding is converted into the vectorial approximation problem that can be solved with phase place.Use the method for alternating minimization, the iterative approach theory upper limit.Energy efficiency can be significantly improved by the present invention.
Description
Technical field
The invention belongs to wireless communication technology field, prelists more particularly, to a kind of extensive MIMO mixing of multi-user
Code efficiency optimization method.
Background technology
Multiple-input and multiple-output (Multiple-Input Multiple-Output, MIMO) is one kind in wireless communication system
The middle wireless communication technique using more antenna transceiving datas, the information transmitted is formed more height by Space Time Coding and believed by it
Breath stream, and launched by more antennas.Extensive MIMO technology increases dual-mode antenna on the basis of conventional MIMO system
To dozens or even hundreds of.It is excellent to remain conventional MIMO system as a kind of new wireless communication technique for extensive mimo system
While point, roll up antenna amount so that power system capacity greatly increases therewith, determines that extensive mimo system has very
Good development prospect.
5G capacity requireds lift 1000 times.To meet capacity requirement, extensive MIMO and millimeter wave become 2 generally acknowledged
Key technology.But under extensive MIMO and millimeter wave scene, traditional digital precoding needs substantial amounts of radio frequency link, draws
Enter high hardware cost and substantial amounts of energy consumption.In this context, to reduce energy consumption and cost, it is divided into base band precoding and radio frequency
The mixing precoding of precoding, can use less radio frequency link, become a very promising technology.At the same time, with
Antenna amount to increase, bandwidth expands, and the power for computing functions such as linear process dramatically increases：For microcell base station,
The power that the main base band for performing computing function is consumed accounts for more than the 40% of general power, even macro base station, also account for 10% with
On.
Therefore, under extensive MIMO scene, the problem that energy efficiency is industry urgent need to resolve how is effectively improved.
The content of the invention
For the disadvantages described above or Improvement requirement of the prior art, object of the present invention is to provide a kind of big rule of multi-user
Mould MIMO mixing precoding efficiency optimization methods, thus solve the relatively low skill of energy efficiency under existing extensive MIMO scene
Art problem.
To achieve the above object, one side according to the invention, there is provided a kind of extensive MIMO mixing of multi-user is pre-
Efficiency optimization method is encoded, is included the following steps：
Efficiency when S1, the extensive MIMO base station unconfined condition of acquisitionAnd byAsk forObtained during maximization without constraint pre-coding matrix Bopt, wherein, B=BRFBBB,Represent NTThe complex matrix of × K,Represent base stations total transmission speed during unconfined condition,When representing unconfined condition
Total base station power, BBBRepresent NRFThe base band precoding complex matrix of × K, BRFRepresent NT×NRFRadio frequency precoding complex matrix, and BRF
In the amplitude of each element be base-band data stream that 1, K represents base station, NRFRepresent radio frequency link quantity, NTRepresent antenna number
Amount, efficiency during unconfined conditionFor the theoretical upper limit of extensive MIMO base station efficiency；
S2, iterative solution obtain base band precoding complex matrix BBBAnd radio frequency precoding complex matrix BRFSo that BRFBBBIt is maximum
Change approaches Bopt, so that base station energy efficiency maximizes the approximation theory upper limit
Preferably, step S1 specifically includes following sub-step：
S1.1, initialization i=0, and to B(i)Random assignment, wherein, subscript(i)Represent ith iteration；
S1.2, byObtainBy
ObtainWherein, δjRepresent the interfering signal power that j-th of user receives,Represent that m-th of user can under unconfined condition
The speed reached,Represent total base station power during unconfined condition, W represents bandwidth, hjRepresent base station under j-th of user
Row channel, bjRepresent the jth row of B, LBSRepresent base station computational efficiency, PCODRepresent the efficiency of channel coding,Represent the side of noise
Difference, subscriptHRepresenting conjugation means, α is the efficiency of power amplifier,Represent NT×NTUnit matrix；
S1.3, byObtain taking in different iteration step length μ
Temp_B during value(i+1)(μ), wherein, k=1...K, μ ∈ [0,1], temp_bkArranged for the kth of temp_B, temp_B NT×K
Complex matrix, subscript(μ)Represent that iteration step length takes μ, subscript-1Expression is inverted；
S1.4, for different μ values when temp_B(i+1)(μ), choose the temp_B for making base station energy efficiency maximum(i+1)(μ), and
So that B(i+1)=temp_B(i+1)(μ)；
S1.5, make i=i+1, if | | B(i+1)-B(i)||F>=the first predetermined threshold value, then redirect and perform step S1.2, otherwise
CausedDuring maximization without constraint pre-coding matrix Bopt=B(i+1)。
Preferably, step S2 specifically includes following sub-step：
S2.1, initialization i=0, and random initializtion BRF (i)；
S2.2, according to BRF (i)B is calculatedBB (i+1)；
S2.3, by phase (BRF(l,j))=phase (Bopt (l,:)BBB(j,:) H),1≤l≤NT,Calculate
To BRF (i+1), wherein, phase (x) represents to take x phase, X(l,j)The element that l rows jth arranges in representing matrix X, X(l,:)Show square
The all elements of l rows in battle array X,Expression rounds up；
If S2.4, | | Bopt-BRF (i+1)BBB (i+1)||F≤ the second predetermined threshold value, then make Otherwise, i=i+1, and redirect and perform step S2.2.
Preferably, step S2.2 specifically includes following sub-step：
It is S2.2.1, rightWith BoptVectorization is carried out respectively obtains xcWithObtain IKWithKronecker product ζc,
By vector xcReal part, imaginary part and variable t form vector x, by vectorReal part and imaginary part form vector bopt, by vector
ζcReal part and imaginary part form vector ζ, wherein, t2=1；
S2.2.2, solutionObtained matrix X can be accessedIts
In, X=xxH,N=2KNRF+ 1, PmaxRepresent most
Big transmission power limitation, Tr () are the mark for seeking matrix.
In general, the method for the present invention can obtain following beneficial effect compared with prior art：By first relaxing
Constraints, iteration try to achieve the theoretical upper limit of base station energy efficiency.Then prelisted using the maximum approximation theory upper limit as target design base band
Code matrix and radio frequency pre-coding matrix.Use the method for alternating minimization, the iterative approach theory upper limit.It can not only significantly improve
Energy efficiency, can also reduce cost efficiency.
Brief description of the drawings
Fig. 1 is a kind of extensive MIMO mixing pre-coding system figures disclosed by the embodiments of the present invention；
Fig. 2 is a kind of stream of the extensive MIMO mixing precoding efficiency optimization method of multi-user disclosed by the embodiments of the present invention
Journey schematic diagram；
Fig. 3 is a kind of simulation result figure disclosed by the embodiments of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in each embodiment of invention described below
Not forming conflict each other can be mutually combined.
It is as shown in Figure 1 a kind of extensive MIMO mixing pre-coding system figures disclosed by the embodiments of the present invention, considers single small
The extensive mimo system of area multi-user.There are K any active ues, each user is single antenna.There is K base-band data stream in base station
Flow into, equipped with NRFRoot radio frequency link, every radio frequency link link a sub-array antenna.Base station shares NTRoot antenna, so
Have on each sub-array antennaRoot antenna.In the present invention, we only consider the downlink of base station, and prelist in radio frequency
Code is using the submatrix array structure with prospects for commercial application.
Base stations total transmission speed RsumIt can be expressed as：
Wherein, W is bandwidth,It is the variance of noise.BBBIt is NRFThe base band precoding complex matrix of × K, BRFIt is NT×NRF's
Radio frequency precoding complex matrix.bBB,kRepresent BBBKth row, hkRepresent the channel of k-th of user.SubscriptHRepresent conjugate transposition.
Total base station power PtotalIt can be expressed as：
Wherein, α be power amplifier efficiency, PshifterRepresent the power of a radio-frequency phase shifter, PRF_per_chainIt is one
The power of a radio frequency link, U=Wc·TcRepresent coherent block, Wc,TcRepresent that coherence bandwidth and coherence time, τ are to make pilot tone respectively
The factor that can be orthogonal, LBSBase station computational efficiency, PCODFor the efficiency of channel coding, PfixRepresent base station constant power.||||FTable
Show F norms.
The maximized optimization problem of base station energy efficiency can be expressed as：
Wherein, ηEE(BRF,BBB) representing base station energy efficiency, independent variable has BRF,BBB。Represent the complex matrix of X × Y.S.t. table
Show constraints.Represent withFor the diagonal matrix of diagonal sub-block.PmaxTable
Show that maximum transmission power limits, miForMultiple column vector, miIn each element magnitude be 1.
It is illustrated in figure 2 a kind of extensive MIMO mixing precoding efficiency optimization side of multi-user disclosed by the embodiments of the present invention
The flow diagram of method, comprises the following steps：
Efficiency when S1, the extensive MIMO base station unconfined condition of acquisitionAnd byAsk forObtained during maximization without constraint pre-coding matrix Bopt, wherein, B=BRFBBB,Represent NTThe complex matrix of × K,Represent base stations total transmission speed during unconfined condition,When representing unconfined condition
Total base station power, BBBRepresent NRFThe base band precoding complex matrix of × K, BRFRepresent NT×NRFRadio frequency precoding complex matrix, BRFIn
The amplitude of each element is the base-band data stream that 1, K represents base station, NRFRepresent radio frequency link quantity, NTRepresent antenna amount.
Because former optimization problem is the optimization problem of Prescribed Properties, after loose constraint condition, domain expands, codomain, i.e. efficiency
Value range expansion or constant, so efficiency during unconfined conditionFor extensive MIMO base station efficiency in theory
Limit；
Wherein,
Wherein, step S1 specifically includes following sub-step：
S1.1, initialization i=0, and to B(i)Random assignment, wherein, subscript(i)Represent ith iteration；
S1.2, byObtain
By
ObtainWherein,
W represents bandwidth, hjRepresent base station to the down channel of j-th of user, bjRepresent the jth row of B, PshifterRepresent one
The power of a radio-frequency phase shifter, PRF_per_chainRepresent the power of a radio frequency link, U=Wc·TcRepresent coherent block, Wc,TcPoint
Not Biao Shi coherence bandwidth and coherence time, τ is the factor for enabling pilot tone orthogonal, LBSRepresent base station computational efficiency, PCODRepresent letter
The efficiency of road coding, PfixRepresent base station constant power, | | | |FRepresent F norms,Represent the variance of noise, subscript H is represented altogether
Yoke device, α are the efficiency of power amplifier,Represent NT×NTUnit matrix, symbolic indication scalar product,Indicate without
The speed that m-th of user can reach under constraints；
S1.3, byObtain taking in different iteration step length μ
Temp_B during value(i+1)(μ), wherein, k=1...K, μ ∈ [0,1], temp_bkArranged for the kth of temp_B, temp_B NT×K
Complex matrix, subscript(μ)Represent that iteration step length takes μ, subscript-1Expression is inverted；
Wherein, the specific implementation of step S1.3 is：
Made in first layer circulationK=1 is made in second layer circulation:K,Wherein, μ represents iteration step length,
Represent step-length value interval, x(μ)Represent the variable x when iteration step length takes μ, subscript-1Expression is inverted.
S1.4, for different μ values when temp_B(i+1)(μ), choose the temp_B for making base station energy efficiency maximum(i+1)(μ), and
So that B(i+1)=temp_B(i+1)(μ)；
S1.5, make i=i+1, if | | B(i+1)-B(i)||F>=the first predetermined threshold value, then redirect and perform step S1.2, otherwise
CausedDuring maximization without constraint pre-coding matrix Bopt=B(i+1)。
Wherein, the first predetermined threshold value can be determined according to the actual requirements.
S2, solve base band precoding complex matrix BBBAnd radio frequency precoding complex matrix BRFSo that BRFBBBApproach Bopt, so that
So that the base station energy efficiency approximation theory upper limit
Wherein, step S2 specifically includes following sub-step：
S2.1, initialization i=0, and random initializtion BRF (i)；
S2.2, according to BRF (i)B is calculatedBB (i+1)；
S2.3, by phase (BRF(l,j))=phase (Bopt (l,:)BBB(j,:) H),1≤l≤NT,Calculate
To BRF (i+1), wherein, phase (x) represents to take x phase, X(l,j)The element that l rows jth arranges in representing matrix X, X(l,:)Show square
The all elements of l rows in battle array X,Expression rounds up；
If S2.4, | | Bopt-BRF (i+1)BBB (i+1)||F≤ the second predetermined threshold value, then make Otherwise, i=i+1, and redirect and perform step S2.2.
Wherein, the second predetermined threshold value can be determined according to the actual requirements.
Wherein, step S2.2 specifically includes following sub-step：
It is S2.2.1, rightWith BoptVectorization is carried out respectively obtains xcWithObtain IKWithKronecker product
ζc, by vector xcReal part, imaginary part and variable t form vector x, by vectorReal part and imaginary part form vector bopt, to
Measure ζcReal part and imaginary part form vector ζ, wherein, t2=1；
Wherein,
Wherein, vec (X) is represented to matrix X vectorizations.Represent square
Battle array Kronecker product.Real () expressions take real part, and imag () represents to take imaginary part.
S2.2.2, byObtained matrix X is i.e. availableWherein, X
=xxH,N=2KNRF+ 1,PmaxRepresent maximum hair
Power limit is penetrated, Tr () is the mark for seeking matrix.
In general, compared with existing mixing precoding algorithms, the present invention can obtain following gain：Energy efficiency highest
189.72% can be lifted.Cost efficiency highest can lift 9.13 times.
Fig. 3 is the analogous diagram of energy efficiency radio frequency port number change.Antenna number is set as 200 in figure, number of users setting
For 5.From analogous diagram as can be seen that the algorithm proposed by the present invention based on submatrix array structure exists than the algorithm under former full connection structure
It is more excellent in energy efficiency.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all any modification, equivalent and improvement made within the spirit and principles of the invention etc., should all include
Within protection scope of the present invention.
Claims (1)
1. a kind of extensive MIMO mixing precoding efficiency optimization method of multi-user, it is characterised in that include the following steps：
Efficiency when S1, the extensive MIMO base station unconfined condition of acquisitionAnd byAsk
TakeObtained during maximization without constraint pre-coding matrix Bopt, wherein, B=BRFBBB,Represent NTThe complex matrix of × K,Represent base stations total transmission speed during unconfined condition,Represent total base station power during unconfined condition, BBBRepresent NRF×K
Base band precoding complex matrix, BRFRepresent NT×NRFRadio frequency precoding complex matrix, and BRFIn the amplitude of each element be 1,
K represents the number of the base-band data stream of base station, NRFRepresent radio frequency link quantity, NTRepresent antenna amount, during unconfined condition
EfficiencyFor the theoretical upper limit of extensive MIMO base station efficiency；
S2, iterative solution obtain base band precoding complex matrix BBBAnd radio frequency precoding complex matrix BRFSo that BRFBBBMaximization is forced
Nearly Bopt, so that base station energy efficiency maximizes the approximation theory upper limitWherein, step S1 specifically includes following sub-step：
S1.1, initialization i=0, and to B(i)Random assignment, wherein, subscript(i)Represent ith iteration；
S1.2, byObtainBy
ObtainWherein, δjRepresent the interfering signal power that j-th of user receives,Represent m-th of user under unconfined condition
The speed that can reach,Represent total base station power during unconfined condition, W represents bandwidth, hjRepresent base station to j-th of user
Down channel, bjRepresent the jth row of B, LBSRepresent base station computational efficiency, PCODRepresent the efficiency of channel coding,Expression is made an uproar
The variance of sound, subscript H represent conjugate transposition, and α is the efficiency of power amplifier,Represent NT×NTUnit matrix；
S1.3, byObtain in different iteration step length μ values
Temp_B(i+1)(μ), wherein, k=1...K, μ ∈ [0,1], temp_bkArranged for the kth of temp_B, temp_B NT× K's answers
Matrix, subscript(μ)Represent that iteration step length takes μ, subscript-1Expression is inverted；
S1.4, for different μ values when temp_B(i+1)(μ), choose the temp_B for making base station energy efficiency maximum(i+1)(μ), and cause B(i+1)=temp_B(i+1)(μ)；
S1.5, make i=i+1, if | | B(i+1)-B(i)||F>=the first predetermined threshold value, then redirect and perform step S1.2,
Otherwise causedDuring maximization without constraint pre-coding matrix Bopt=B(i+1)；
Wherein, step S2 specifically includes following sub-step：
S2.1, initialization i=0, and random initializtion BRF (i)；
S2.2, according to BRF (i)B is calculatedBB (i+1)；
S2.3, byB is calculatedRF (i+1), wherein, phase (x) represents to take x phase, X(l,j)The element that l rows jth arranges in representing matrix X, X(l,:)Show in matrix X
The all elements of l rows,Expression rounds up；
If S2.4, | | Bopt-BRF (i+1)BBB (i+1)||F≤ the second predetermined threshold value, then make
Otherwise, i=i+1, and redirect and perform step S2.2；
Wherein, step S2.2 specifically includes following sub-step：
It is S2.2.1, rightWith BoptVectorization is carried out respectively obtains xcWithObtain IKWithKronecker product ζc, to
Measure xcReal part, imaginary part and variable t form vector x, by vectorReal part and imaginary part form vector bopt, by vectorial ζc's
Real part forms vector ζ with imaginary part, wherein, t2=1, IKRepresent the unit matrix of K × K；
S2.2.2, solutionObtained matrix X can be accessedWherein, X=
xxH,N=2KNRF+ 1,PmaxRepresent emission maximum
Power limit, Tr () are the mark for seeking matrix.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710533484.XA CN107276650B (en) | 2017-07-03 | 2017-07-03 | A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710533484.XA CN107276650B (en) | 2017-07-03 | 2017-07-03 | A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107276650A CN107276650A (en) | 2017-10-20 |
| CN107276650B true CN107276650B (en) | 2018-04-24 |
Family
ID=60070654
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710533484.XA Active CN107276650B (en) | 2017-07-03 | 2017-07-03 | A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107276650B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108337024B (en) * | 2018-02-06 | 2021-02-09 | 重庆邮电大学 | Large-scale MIMO system energy efficiency optimization method based on energy collection |
| CN109861731B (en) * | 2019-01-23 | 2022-02-15 | 北京理工大学 | Hybrid precoder and design method thereof |
| CN110212959B (en) * | 2019-05-16 | 2020-11-24 | 华中科技大学 | Hybrid precoding energy efficiency optimization method of millimeter wave MIMO-OFDM communication system |
| US10763933B1 (en) * | 2019-06-26 | 2020-09-01 | Realtek Semiconductor Corp. | Precoding method, base station and computing circuit |
| CN111010220B (en) * | 2019-11-14 | 2020-12-22 | 北京科技大学 | Multi-user multi-stream downlink hybrid precoding method and system based on energy efficiency |
| CN114759958B (en) * | 2022-03-31 | 2024-02-09 | 北京理工大学 | Global energy efficiency optimization method based on mixed precoding |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101540661B (en) * | 2009-03-09 | 2012-03-28 | 华中科技大学 | Switching-based adaptive MIMO decoding method |
| CN104506281B (en) * | 2015-01-14 | 2017-12-15 | 西安电子科技大学 | A kind of radio frequency of 3D mimo systems mixes method for precoding with base band |
| CN105959048B (en) * | 2016-06-23 | 2019-02-15 | 北京科技大学 | A kind of method for precoding of extensive antenna |
| CN105933046B (en) * | 2016-06-24 | 2019-01-22 | 北京科技大学 | A kind of extensive antenna system base band and radio frequency mixing method for precoding |
-
2017
- 2017-07-03 CN CN201710533484.XA patent/CN107276650B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107276650A (en) | 2017-10-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107276650B (en) | A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user | |
| Xie et al. | A unified transmission strategy for TDD/FDD massive MIMO systems with spatial basis expansion model | |
| D'Andrea et al. | Cell-free massive MIMO for UAV communications | |
| CN104601209B (en) | A kind of cooperative multi-point transmission method suitable for 3D mimo systems | |
| CN103166685B (en) | A kind of interference alignment schemes based on joint Power distribution in LTE | |
| CN104184690B (en) | Double-layer pre-coding method applicable to 3D MIMO system | |
| CN106452622B (en) | A kind of nonopiate multi-access method based on time division multiplexing multiple antennas downlink | |
| Kudo et al. | A channel state information feedback method for massive MIMO-OFDM | |
| CN105703812A (en) | A downlink precoding and base station power control method in a pilot frequency time shifting large-scale MIMO system | |
| CN103840870A (en) | Method for lowering limiting feedback expenditure of 3D MIMO channel | |
| CN105680925A (en) | Interference-alignment-based power control method for D2D user | |
| CN104184555B (en) | A kind of method for precoding based on dicode sheet suitable for 3D mimo systems | |
| CN107979826A (en) | Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D | |
| CN101807979B (en) | Method for multi-user pre-coding based on single-antenna power constraint in wireless communication | |
| CN102547955A (en) | Distributed interference elimination method based on signal leakage noise ratio | |
| Song et al. | Joint spatial division and multiplexing in massive MIMO: A neighbor-based approach | |
| CN103368628B (en) | Double-current beam forming method based on code books in TD-LTE system | |
| CN107071881A (en) | A kind of small cell network distributed energy distribution method based on game theory | |
| CN103607260B (en) | System total interference leakage minimum pre-coding matrix group selection algorithm based on MIMO | |
| CN104202120B (en) | Interference alignment method for precoding and system and coding/decoding method and system based on sub-clustering | |
| Li et al. | Interference coordination for FD-MIMO cellular network with D2D communications underlaying | |
| CN107465436A (en) | The low-complexity base stations system of selection of the extensive mimo system of millimeter wave frequency band | |
| CN103368702B (en) | Fluxion adaptive approach in the distributed interference alignment of WLAN | |
| CN109495147A (en) | Superimposed pilot method based on spatial reuse in extensive mimo system | |
| CN106792734B (en) | Utilize the heterogeneous network disturbance coordination method of three-dimensional statistic channel information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |